Organisations face significant security risks in the era of "vibe coding" and AI-generated software. A recent benchmark test conducted by Armis that revealed that every model struggles to consistently produce secure code. This reality necessitates that Application Security (AppSec) programs shift away from fragmented vulnerability scanner management and adopt a risk-first strategy.
Bitdefender first documented the Curly COMrades threat actor, operating to support Russian interests in geopolitical hotbeds, in August 2025. Since that initial discovery, ...
Data is the cornerstone of business transformation, driving intelligence around cybersecurity, as well as informing AI models. George Kurian, CEO of NetApp, recently ...
Robust physical security is essential for organisations of all stripes and sizes. Conducting a judicious procurement process will ensure the solutions you invest in are ...
Introduction
When the panel took the stage for “Public, profiled, and unprotected: How OSINT, AI and Geolocation blur the line between privacy and surveillance” at Cyber Con ...
Introduction
If you haven’t heard about AI, then you must be living on a different planet. It’s the talk of the town, with individuals using it to help them with everyday ...
Oracle’s definitely in its AI era. A select group of companies have raced to build humongous models, funnelling fortunes into training complex neural networks. AI is sounding ...
Today, NinjaOne announced strong momentum for its NinjaOne Backup product, with more than 15,000 customers now relying on the solution to protect their endpoints, servers, ...
The release of the newest frontier AI models marks a turning point for cybersecurity. Palo Alto Networks has conducted early testing of the latest frontier AI models, ...
